Incident Score: Analysis & Impact (STADEL1777062830)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Deloitte's Cyber Attack and lateral movement inside company's environment.
- Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
- How Rankiteo’s incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Deloitte Rankiteo cyber scoring and cyber rating.
- Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Deloitte breach identified under incident ID STADEL1777062830.
The analysis begins with a detailed overview of Deloitte's information like the linkedin page: https://www.linkedin.com/company/deloitte, the number of followers: 21317779, the industry type: Business Consulting and Services and the number of employees: 516523 employees
After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 828 and after the incident was 819 with a difference of -9 which is could be a good indicator of the severity and impact of the incident.
In the next step of the video, we will analyze in more details the incident and the impact it had on Deloitte and their customers.
On 13 December 2024, Rhode Island Department of Administration (RIBridges) disclosed Data Breach issues under the banner "Rhode Island RIBridges Data Breach".
The Rhode Island Department of Administration finalized a $7 million settlement with Deloitte Consulting LLP over a 2024 data breach of the RIBridges platform, which handles Medicaid, food stamps, and health insurance applications.
The disruption is felt across the environment, affecting 28 of 338 backend environments of RIBridges, and exposing Personal information of 644,401 individuals, with nearly 644,401 records at risk, plus an estimated financial loss of $12 million (settlement and enhancements).
In response, and began remediation that includes $6 million in system enhancements and support provided by Deloitte, and stakeholders are being briefed through Coordinated public statements, non-disparagement clause.
The case underscores how Resolved (settlement finalized), teams are taking away lessons such as Need for improved detection of intrusions, timely breach notifications, and vendor oversight, and recommending next steps like Enhance monitoring, implement stricter access controls, and improve incident response protocols, with advisories going out to stakeholders covering Non-disparagement clause and coordinated public statements.
Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.
The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.
MITRE ATT&CK® Correlation Analysis
Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating infiltrated the system’s backend in July 2024 using stolen credentials from a Deloitte representative. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating threat actors remained undetected for months. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating stolen credentials from a Deloitte representative. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating exfiltrating data from 28 of RIBridges’ 338 backend environments. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating personal information of 644,401 individuals compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating exfiltrating data from 28 of RIBridges’ 338 backend environments. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating threat actors remained undetected for months and Hide Artifacts (T1564) with moderate to high confidence (70%), supported by evidence indicating deloitte’s failure to detect the intrusion. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malware’s impact beyond data exfiltration. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Deloitte Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/deloitte/incident/STADEL1777062830
- Deloitte CyberSecurity Rating page: https://www.rankiteo.com/company/deloitte
- Deloitte Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/stadel1777062830-deloitte-consulting-llp-rhode-island-department-of-administration-cyber-attack-july-2024/
- Deloitte CyberSecurity Score History: https://www.rankiteo.com/company/deloitte/history
- Deloitte CyberSecurity Incident Source: https://rhodeislandcurrent.com/2026/04/24/state-announces-7-million-settlement-with-contractor-deloitte-over-ribridges-cyber-breach/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf